Newegg
Key Responsibilities:
Data Analysis & Reporting:
Analyze large datasets from TMS, WMS, ERP, and other sources to identify trends and improvement opportunities across logistics functions.
Build dashboards and generate reports on KPIs such as inventory turnover, transportation costs, order accuracy, and delivery performance.
Operational Optimization:
Collaborate with transportation, warehousing, and inventory teams to streamline operations, reduce inefficiencies, and improve delivery times.
Conduct root cause analysis and cost-benefit evaluations for process changes or system enhancements.
Vendor & Performance Management:
Monitor carrier and supplier performance (e.g., on-time delivery, service quality) and provide actionable feedback to internal stakeholders.
Technology & Systems Utilization:
Leverage tools like SQL, Excel, Tableau, WMS, and TMS to enhance decision-making and reporting capabilities.
Identify opportunities for automation and digitalization within logistics workflows.
Cross-Functional Collaboration:
Work closely with procurement, logistics, supply planning, and business intelligence teams to align analysis with broader business goals.
Continuous Improvement:
Stay up to date with supply chain trends and analytics best practices to drive innovation and efficiency within the logistics function.
Qualifications:
Bachelor's degree in Logistics, Supply Chain Management, Business Analytics, Industrial Engineering, or a related field. Master's degree preferred or current Master's students with relevant experience/internships encouraged to apply. 1-3+ years of experience in logistics, supply chain analytics, or transportation data analysis. Strong proficiency in Excel, SQL, and data visualization tools (e.g., Tableau, Power BI). Familiarity with logistics systems such as TMS, WMS, or ERP platforms. Excellent analytical and problem-solving abilities with a keen attention to detail. Effective communication and presentation skills; able to translate data into actionable insights for non-technical audiences. Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment.
Bachelor's degree in Logistics, Supply Chain Management, Business Analytics, Industrial Engineering, or a related field. Master's degree preferred or current Master's students with relevant experience/internships encouraged to apply. 1-3+ years of experience in logistics, supply chain analytics, or transportation data analysis. Strong proficiency in Excel, SQL, and data visualization tools (e.g., Tableau, Power BI). Familiarity with logistics systems such as TMS, WMS, or ERP platforms. Excellent analytical and problem-solving abilities with a keen attention to detail. Effective communication and presentation skills; able to translate data into actionable insights for non-technical audiences. Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment.